Chen P C, Kovalcheck S W, Zweifach B W
AMES-Bioengineering, University of California, San Diego, La Jolla 92093.
Int J Microcirc Clin Exp. 1987 Aug;6(3):245-55.
A digital image processing procedure has been developed for obtaining quantitative morphometric data on the microcirculatory network in the human bulbar conjunctiva. Highlights of this semi-automated approach include: 1. extraction of morphometric information that cannot be readily obtained by manual methods--length, diameter, and diffusion distributions; 2. speed and consistency in data generation--only 10 minutes are required to scan and to analyze 6.7 mm2 of conjunctiva microvasculature. The variation was less than 5% when images of the same area in the same eye were subjected to analysis at different times; 3. avoid the human bias factor--the data obtained by repeated analysis of the same negative varied by less than 0.02%.
已开发出一种数字图像处理程序,用于获取人球结膜微循环网络的定量形态测量数据。这种半自动方法的亮点包括:1. 提取手动方法难以获得的形态测量信息——长度、直径和扩散分布;2. 数据生成的速度和一致性——扫描和分析6.7平方毫米的结膜微血管系统仅需10分钟。同一眼睛相同区域的图像在不同时间进行分析时,变化小于5%;3. 避免人为偏差因素——对同一阴性样本进行重复分析所获得的数据变化小于0.02%。